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<h2>Texture Inspection</h2>
<p><a href="#section_list">List of Operators ↓</a></p>
<p>This chapter describes 该算子s for texture inspection.
</p>
<h3>Concept of the texture inspection model</h3>
<p>The texture inspection model enables the inspection of
textured surfaces with only having to set few parameters. The algorithm
requires images of flawless texture for
training. The training process extracts texture features from the training
images and trains a texture inspection model that is based on
Gaussian Mixture Model (GMM) classifiers.
After a successful training, texture images can be compared to the
texture inspection model and potential defects can be identified.
Texture inspection works on image pyramids. This way, multiple frequency
ranges of the texture are analyzed.
</p>
<p>It is possible to use multi-channel images in the texture inspection pipeline.
</p>
<p>In the following, the steps that are required to perform the texture
inspection are described briefly.
</p>
<dl class="generic">


<dt><b>Create a texture inspection model:</b></dt>
<dd>
<p>

In a first step, a texture inspection model is created with
</p>
<ul>
<li>
<p> <a href="create_texture_inspection_model.html"><code><span data-if="hdevelop" style="display:inline"><code>create_texture_inspection_model</code></span><span data-if="c" style="display:none"><code>create_texture_inspection_model</code></span><span data-if="cpp" style="display:none"><code>CreateTextureInspectionModel</code></span><span data-if="com" style="display:none"><code>CreateTextureInspectionModel</code></span><span data-if="dotnet" style="display:none"><code>CreateTextureInspectionModel</code></span><span data-if="python" style="display:none"><code>create_texture_inspection_model</code></span></code></a>
</p>
</li>
</ul>

<p>or read with
</p>
<ul>
<li>
<p> <a href="read_texture_inspection_model.html"><code><span data-if="hdevelop" style="display:inline"><code>read_texture_inspection_model</code></span><span data-if="c" style="display:none"><code>read_texture_inspection_model</code></span><span data-if="cpp" style="display:none"><code>ReadTextureInspectionModel</code></span><span data-if="com" style="display:none"><code>ReadTextureInspectionModel</code></span><span data-if="dotnet" style="display:none"><code>ReadTextureInspectionModel</code></span><span data-if="python" style="display:none"><code>read_texture_inspection_model</code></span></code></a>.
</p>
</li>
</ul>

</dd>

<dt><b>Add training samples:</b></dt>
<dd>


<p>该算子
</p>
<ul>
<li>
<p> <a href="add_texture_inspection_model_image.html"><code><span data-if="hdevelop" style="display:inline"><code>add_texture_inspection_model_image</code></span><span data-if="c" style="display:none"><code>add_texture_inspection_model_image</code></span><span data-if="cpp" style="display:none"><code>AddTextureInspectionModelImage</code></span><span data-if="com" style="display:none"><code>AddTextureInspectionModelImage</code></span><span data-if="dotnet" style="display:none"><code>AddTextureInspectionModelImage</code></span><span data-if="python" style="display:none"><code>add_texture_inspection_model_image</code></span></code></a>
</p>
</li>
</ul>

<p>adds sample images to the texture inspection model.
</p>
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preserveAspectRatio="none" x="0" y="0" width="100%" height="100%"></image>
</g>
</svg><div style="margin-bottom:30px;text-align:center;" class="caption">
Image of a textured surface that is used to train a texture
inspection model.
</div>
</div>

<p>Images that have been added to the texture inspection model with the help
of <a href="add_texture_inspection_model_image.html"><code><span data-if="hdevelop" style="display:inline"><code>add_texture_inspection_model_image</code></span><span data-if="c" style="display:none"><code>add_texture_inspection_model_image</code></span><span data-if="cpp" style="display:none"><code>AddTextureInspectionModelImage</code></span><span data-if="com" style="display:none"><code>AddTextureInspectionModelImage</code></span><span data-if="dotnet" style="display:none"><code>AddTextureInspectionModelImage</code></span><span data-if="python" style="display:none"><code>add_texture_inspection_model_image</code></span></code></a> can be viewed with
<a href="get_texture_inspection_model_image.html"><code><span data-if="hdevelop" style="display:inline"><code>get_texture_inspection_model_image</code></span><span data-if="c" style="display:none"><code>get_texture_inspection_model_image</code></span><span data-if="cpp" style="display:none"><code>GetTextureInspectionModelImage</code></span><span data-if="com" style="display:none"><code>GetTextureInspectionModelImage</code></span><span data-if="dotnet" style="display:none"><code>GetTextureInspectionModelImage</code></span><span data-if="python" style="display:none"><code>get_texture_inspection_model_image</code></span></code></a>. If all or a part of the added
images are not needed for the current texture inspection, they can be removed
from the model using <a href="remove_texture_inspection_model_image.html"><code><span data-if="hdevelop" style="display:inline"><code>remove_texture_inspection_model_image</code></span><span data-if="c" style="display:none"><code>remove_texture_inspection_model_image</code></span><span data-if="cpp" style="display:none"><code>RemoveTextureInspectionModelImage</code></span><span data-if="com" style="display:none"><code>RemoveTextureInspectionModelImage</code></span><span data-if="dotnet" style="display:none"><code>RemoveTextureInspectionModelImage</code></span><span data-if="python" style="display:none"><code>remove_texture_inspection_model_image</code></span></code></a>.
</p>
</dd>

<dt><b>Train a texture inspection model:</b></dt>
<dd>
<p>

The texture inspection model is trained with
</p>
<ul>
<li>
<p> <a href="train_texture_inspection_model.html"><code><span data-if="hdevelop" style="display:inline"><code>train_texture_inspection_model</code></span><span data-if="c" style="display:none"><code>train_texture_inspection_model</code></span><span data-if="cpp" style="display:none"><code>TrainTextureInspectionModel</code></span><span data-if="com" style="display:none"><code>TrainTextureInspectionModel</code></span><span data-if="dotnet" style="display:none"><code>TrainTextureInspectionModel</code></span><span data-if="python" style="display:none"><code>train_texture_inspection_model</code></span></code></a>.
</p>
</li>
</ul>

<p>In the training process an image pyramid is created. For each pyramid
level a Gaussian Mixture Model
(GMM) is trained and a <i><span data-if="hdevelop" style="display:inline"><code>'novelty_threshold'</code></span><span data-if="c" style="display:none"><code>"novelty_threshold"</code></span><span data-if="cpp" style="display:none"><code>"novelty_threshold"</code></span><span data-if="com" style="display:none"><code>"novelty_threshold"</code></span><span data-if="dotnet" style="display:none"><code>"novelty_threshold"</code></span><span data-if="python" style="display:none"><code>"novelty_threshold"</code></span></i> is determined. The
<i><span data-if="hdevelop" style="display:inline"><code>'novelty_threshold'</code></span><span data-if="c" style="display:none"><code>"novelty_threshold"</code></span><span data-if="cpp" style="display:none"><code>"novelty_threshold"</code></span><span data-if="com" style="display:none"><code>"novelty_threshold"</code></span><span data-if="dotnet" style="display:none"><code>"novelty_threshold"</code></span><span data-if="python" style="display:none"><code>"novelty_threshold"</code></span></i> helps to distinguish between flawless and
defective texture. After the training, it is possible to query the
novelty thresholds with <a href="get_texture_inspection_model_param.html"><code><span data-if="hdevelop" style="display:inline"><code>get_texture_inspection_model_param</code></span><span data-if="c" style="display:none"><code>get_texture_inspection_model_param</code></span><span data-if="cpp" style="display:none"><code>GetTextureInspectionModelParam</code></span><span data-if="com" style="display:none"><code>GetTextureInspectionModelParam</code></span><span data-if="dotnet" style="display:none"><code>GetTextureInspectionModelParam</code></span><span data-if="python" style="display:none"><code>get_texture_inspection_model_param</code></span></code></a>.
</p>
<p>Several parameters influence the training. They can be set with
</p>
<ul>
<li>
<p> <a href="set_texture_inspection_model_param.html"><code><span data-if="hdevelop" style="display:inline"><code>set_texture_inspection_model_param</code></span><span data-if="c" style="display:none"><code>set_texture_inspection_model_param</code></span><span data-if="cpp" style="display:none"><code>SetTextureInspectionModelParam</code></span><span data-if="com" style="display:none"><code>SetTextureInspectionModelParam</code></span><span data-if="dotnet" style="display:none"><code>SetTextureInspectionModelParam</code></span><span data-if="python" style="display:none"><code>set_texture_inspection_model_param</code></span></code></a>.
</p>
</li>
</ul>

<p>We recommend the following proceeding for the training:
</p>
<ul>
<li>
<p> Set initial parameters for the training, if needed:
</p>
<ul>
<li>
<p> <i><span data-if="hdevelop" style="display:inline"><code>'patch_normalization'</code></span><span data-if="c" style="display:none"><code>"patch_normalization"</code></span><span data-if="cpp" style="display:none"><code>"patch_normalization"</code></span><span data-if="com" style="display:none"><code>"patch_normalization"</code></span><span data-if="dotnet" style="display:none"><code>"patch_normalization"</code></span><span data-if="python" style="display:none"><code>"patch_normalization"</code></span></i>: Setting this parameter to
<i><span data-if="hdevelop" style="display:inline"><code>'weber'</code></span><span data-if="c" style="display:none"><code>"weber"</code></span><span data-if="cpp" style="display:none"><code>"weber"</code></span><span data-if="com" style="display:none"><code>"weber"</code></span><span data-if="dotnet" style="display:none"><code>"weber"</code></span><span data-if="python" style="display:none"><code>"weber"</code></span></i>, the features of the used texture patches are
normalized making the texture inspection model more robust against
illumination changes.  Note, however, that sometimes a normalization
might not be desired, e.g., if the brightness is needed to
discriminate between flawless and defective parts. In that case, a
controlled illumination is absolutely necessary for a successful
classification.
</p>
</li>
<li>
<p> <i><span data-if="hdevelop" style="display:inline"><code>'patch_rotational_robustness'</code></span><span data-if="c" style="display:none"><code>"patch_rotational_robustness"</code></span><span data-if="cpp" style="display:none"><code>"patch_rotational_robustness"</code></span><span data-if="com" style="display:none"><code>"patch_rotational_robustness"</code></span><span data-if="dotnet" style="display:none"><code>"patch_rotational_robustness"</code></span><span data-if="python" style="display:none"><code>"patch_rotational_robustness"</code></span></i>: Setting this parameter to
<i><span data-if="hdevelop" style="display:inline"><code>'true'</code></span><span data-if="c" style="display:none"><code>"true"</code></span><span data-if="cpp" style="display:none"><code>"true"</code></span><span data-if="com" style="display:none"><code>"true"</code></span><span data-if="dotnet" style="display:none"><code>"true"</code></span><span data-if="python" style="display:none"><code>"true"</code></span></i>, the features of the used texture patches are sorted in
a way that is robust against rotational changes. This can be used if
it is difficult to train all possible orientations of the textured
surface via training samples.
</p>
</li>
</ul>
</li>
<li>
<p> Train the texture inspection model (using the default parameters): The
initial training of the texture inspection model may be very time consuming,
depending on the number of training images and their resolution.  The
following time saving strategies can be considered:
</p>
<ul>
<li>
<p> Zoom the images: Often, the texture inspection works even better
on low resolution images.  If it is known that the full resolution of
the images is not needed, you can significantly reduce the training
time by zooming the images. Zooming the image down by a factor of 2,
e.g., reduces the training time by factor 4.
</p>
</li>
<li>
<p> Accelerate the training: Another, but more risky strategy is to
increase the threshold for the stopping criterion of the classifier
optimization by setting the parameter <i><span data-if="hdevelop" style="display:inline"><code>'gmm_em_threshold'</code></span><span data-if="c" style="display:none"><code>"gmm_em_threshold"</code></span><span data-if="cpp" style="display:none"><code>"gmm_em_threshold"</code></span><span data-if="com" style="display:none"><code>"gmm_em_threshold"</code></span><span data-if="dotnet" style="display:none"><code>"gmm_em_threshold"</code></span><span data-if="python" style="display:none"><code>"gmm_em_threshold"</code></span></i>,
e.g., from <i>0.001</i> to <i>0.1</i>.  This leads to shorter
training times but also to a possibly less accurate texture inspection
model. If this strategy is used, we strongly recommend to reduce
<i><span data-if="hdevelop" style="display:inline"><code>'gmm_em_threshold'</code></span><span data-if="c" style="display:none"><code>"gmm_em_threshold"</code></span><span data-if="cpp" style="display:none"><code>"gmm_em_threshold"</code></span><span data-if="com" style="display:none"><code>"gmm_em_threshold"</code></span><span data-if="dotnet" style="display:none"><code>"gmm_em_threshold"</code></span><span data-if="python" style="display:none"><code>"gmm_em_threshold"</code></span></i> again after most of the parameters have been
adjusted.
</p>
</li>
</ul>
</li>
<li>
<p> Check the result of the training: Use a set of images with defective
textures, classify them with the trained texture inspection model and check
the results as is described for the step 'Apply the texture
inspection model'. If the results are not satisfying, further parameters can
be adjusted for the training. The most important parameters are:
</p>
<ul>
<li>
<p> <i><span data-if="hdevelop" style="display:inline"><code>'num_levels'</code></span><span data-if="c" style="display:none"><code>"num_levels"</code></span><span data-if="cpp" style="display:none"><code>"num_levels"</code></span><span data-if="com" style="display:none"><code>"num_levels"</code></span><span data-if="dotnet" style="display:none"><code>"num_levels"</code></span><span data-if="python" style="display:none"><code>"num_levels"</code></span></i> or <i><span data-if="hdevelop" style="display:inline"><code>'levels'</code></span><span data-if="c" style="display:none"><code>"levels"</code></span><span data-if="cpp" style="display:none"><code>"levels"</code></span><span data-if="com" style="display:none"><code>"levels"</code></span><span data-if="dotnet" style="display:none"><code>"levels"</code></span><span data-if="python" style="display:none"><code>"levels"</code></span></i>: The number of used
pyramid levels or the explicitly used pyramid levels.  Higher pyramid
levels work on coarser texture features.  If the texture in your images
is very coarse, the lower pyramid levels may not be needed for a
successful inspection. Then runtime can be reduced by setting the
pyramid levels of interest explicitly with <i><span data-if="hdevelop" style="display:inline"><code>'levels'</code></span><span data-if="c" style="display:none"><code>"levels"</code></span><span data-if="cpp" style="display:none"><code>"levels"</code></span><span data-if="com" style="display:none"><code>"levels"</code></span><span data-if="dotnet" style="display:none"><code>"levels"</code></span><span data-if="python" style="display:none"><code>"levels"</code></span></i>. If for
example the <i><span data-if="hdevelop" style="display:inline"><code>'levels'</code></span><span data-if="c" style="display:none"><code>"levels"</code></span><span data-if="cpp" style="display:none"><code>"levels"</code></span><span data-if="com" style="display:none"><code>"levels"</code></span><span data-if="dotnet" style="display:none"><code>"levels"</code></span><span data-if="python" style="display:none"><code>"levels"</code></span></i> are set to [1,3], the training and the
texture classification are only performed on the first and third level.
</p>
</li>
<li>
<p> <i><span data-if="hdevelop" style="display:inline"><code>'sensitivity'</code></span><span data-if="c" style="display:none"><code>"sensitivity"</code></span><span data-if="cpp" style="display:none"><code>"sensitivity"</code></span><span data-if="com" style="display:none"><code>"sensitivity"</code></span><span data-if="dotnet" style="display:none"><code>"sensitivity"</code></span><span data-if="python" style="display:none"><code>"sensitivity"</code></span></i>: Controls how strict the novelty thresholds
are set. This way, the sensitivity to novelties can be adjusted.  In
general, positive values lead to fewer detected defects and negative
values lead to less detected defects.
</p>
</li>
<li>
<p> <i><span data-if="hdevelop" style="display:inline"><code>'novelty_threshold'</code></span><span data-if="c" style="display:none"><code>"novelty_threshold"</code></span><span data-if="cpp" style="display:none"><code>"novelty_threshold"</code></span><span data-if="com" style="display:none"><code>"novelty_threshold"</code></span><span data-if="dotnet" style="display:none"><code>"novelty_threshold"</code></span><span data-if="python" style="display:none"><code>"novelty_threshold"</code></span></i>: Sets the novelty threshold manually.
This can be used for fine tuning if the results of the automatic
estimation are not optimal.
</p>
</li>
</ul>
</li>
<li>
<p> Repeat the training, if needed: If parameters were adjusted, usually
the texture inspection model has to be retrained.
</p>
</li>
</ul>

</dd>

<dt><b>Apply the texture inspection model:</b></dt>
<dd>
<p>
 After successfully training the
texture inspection model it can be used to classify textured surfaces. Each
test image can be compared to the texture inspection model with
</p>
<ul>
<li>
<p> <a href="apply_texture_inspection_model.html"><code><span data-if="hdevelop" style="display:inline"><code>apply_texture_inspection_model</code></span><span data-if="c" style="display:none"><code>apply_texture_inspection_model</code></span><span data-if="cpp" style="display:none"><code>ApplyTextureInspectionModel</code></span><span data-if="com" style="display:none"><code>ApplyTextureInspectionModel</code></span><span data-if="dotnet" style="display:none"><code>ApplyTextureInspectionModel</code></span><span data-if="python" style="display:none"><code>apply_texture_inspection_model</code></span></code></a>.
</p>
</li>
</ul>

<div style="text-align:center;" class="figure">
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</g>
</svg><div style="margin-bottom:30px;text-align:center;" class="caption">
Test image with defects.
</div>
</div>

<p>For each test image 该算子 returns a <i><span data-if="hdevelop" style="display:inline"><code>'novelty_region'</code></span><span data-if="c" style="display:none"><code>"novelty_region"</code></span><span data-if="cpp" style="display:none"><code>"novelty_region"</code></span><span data-if="com" style="display:none"><code>"novelty_region"</code></span><span data-if="dotnet" style="display:none"><code>"novelty_region"</code></span><span data-if="python" style="display:none"><code>"novelty_region"</code></span></i>, which
indicates where the image has high deviations to the trained texture samples.
The <i><span data-if="hdevelop" style="display:inline"><code>'novelty_region'</code></span><span data-if="c" style="display:none"><code>"novelty_region"</code></span><span data-if="cpp" style="display:none"><code>"novelty_region"</code></span><span data-if="com" style="display:none"><code>"novelty_region"</code></span><span data-if="dotnet" style="display:none"><code>"novelty_region"</code></span><span data-if="python" style="display:none"><code>"novelty_region"</code></span></i> is generated by
combining the novelty regions of the different pyramid levels. The novelty
regions of adjacent levels in the image pyramid are intersected with each
other. This step helps to improve the robustness towards noise within the
single pyramid level responses. The intersected novelty regions are then
added to the returned <i><span data-if="hdevelop" style="display:inline"><code>'novelty_region'</code></span><span data-if="c" style="display:none"><code>"novelty_region"</code></span><span data-if="cpp" style="display:none"><code>"novelty_region"</code></span><span data-if="com" style="display:none"><code>"novelty_region"</code></span><span data-if="dotnet" style="display:none"><code>"novelty_region"</code></span><span data-if="python" style="display:none"><code>"novelty_region"</code></span></i>. If a pyramid level has no
adjacent pyramid level, the region itself is added to the
<i><span data-if="hdevelop" style="display:inline"><code>'novelty_region'</code></span><span data-if="c" style="display:none"><code>"novelty_region"</code></span><span data-if="cpp" style="display:none"><code>"novelty_region"</code></span><span data-if="com" style="display:none"><code>"novelty_region"</code></span><span data-if="dotnet" style="display:none"><code>"novelty_region"</code></span><span data-if="python" style="display:none"><code>"novelty_region"</code></span></i>. If, for example, <i><span data-if="hdevelop" style="display:inline"><code>'num_levels'</code></span><span data-if="c" style="display:none"><code>"num_levels"</code></span><span data-if="cpp" style="display:none"><code>"num_levels"</code></span><span data-if="com" style="display:none"><code>"num_levels"</code></span><span data-if="dotnet" style="display:none"><code>"num_levels"</code></span><span data-if="python" style="display:none"><code>"num_levels"</code></span></i> is set to 1,
no adjacent pyramid level exists and the <i><span data-if="hdevelop" style="display:inline"><code>'novelty_region'</code></span><span data-if="c" style="display:none"><code>"novelty_region"</code></span><span data-if="cpp" style="display:none"><code>"novelty_region"</code></span><span data-if="com" style="display:none"><code>"novelty_region"</code></span><span data-if="dotnet" style="display:none"><code>"novelty_region"</code></span><span data-if="python" style="display:none"><code>"novelty_region"</code></span></i> is the
novelty region of the first pyramid level.
</p>
<p>For debugging, the parameter <i><span data-if="hdevelop" style="display:inline"><code>'gen_result_handle'</code></span><span data-if="c" style="display:none"><code>"gen_result_handle"</code></span><span data-if="cpp" style="display:none"><code>"gen_result_handle"</code></span><span data-if="com" style="display:none"><code>"gen_result_handle"</code></span><span data-if="dotnet" style="display:none"><code>"gen_result_handle"</code></span><span data-if="python" style="display:none"><code>"gen_result_handle"</code></span></i> can be set to
<i><span data-if="hdevelop" style="display:inline"><code>'true'</code></span><span data-if="c" style="display:none"><code>"true"</code></span><span data-if="cpp" style="display:none"><code>"true"</code></span><span data-if="com" style="display:none"><code>"true"</code></span><span data-if="dotnet" style="display:none"><code>"true"</code></span><span data-if="python" style="display:none"><code>"true"</code></span></i> with <a href="set_texture_inspection_model_param.html"><code><span data-if="hdevelop" style="display:inline"><code>set_texture_inspection_model_param</code></span><span data-if="c" style="display:none"><code>set_texture_inspection_model_param</code></span><span data-if="cpp" style="display:none"><code>SetTextureInspectionModelParam</code></span><span data-if="com" style="display:none"><code>SetTextureInspectionModelParam</code></span><span data-if="dotnet" style="display:none"><code>SetTextureInspectionModelParam</code></span><span data-if="python" style="display:none"><code>set_texture_inspection_model_param</code></span></code></a>. This way,
the novelty score images and novelty regions of the individual pyramid
levels are stored in a result handle.
They can then be read with
</p>
<ul>
<li>
<p> <a href="get_texture_inspection_result_object.html"><code><span data-if="hdevelop" style="display:inline"><code>get_texture_inspection_result_object</code></span><span data-if="c" style="display:none"><code>get_texture_inspection_result_object</code></span><span data-if="cpp" style="display:none"><code>GetTextureInspectionResultObject</code></span><span data-if="com" style="display:none"><code>GetTextureInspectionResultObject</code></span><span data-if="dotnet" style="display:none"><code>GetTextureInspectionResultObject</code></span><span data-if="python" style="display:none"><code>get_texture_inspection_result_object</code></span></code></a>.
</p>
</li>
</ul>

<p>In general, the novelty score images describe how well each pixel
fits to the texture inspection model that was created within the training
process. The novelty regions of the single pyramid levels are then
calculated by applying  the <i><span data-if="hdevelop" style="display:inline"><code>'novelty_threshold'</code></span><span data-if="c" style="display:none"><code>"novelty_threshold"</code></span><span data-if="cpp" style="display:none"><code>"novelty_threshold"</code></span><span data-if="com" style="display:none"><code>"novelty_threshold"</code></span><span data-if="dotnet" style="display:none"><code>"novelty_threshold"</code></span><span data-if="python" style="display:none"><code>"novelty_threshold"</code></span></i> to the
corresponding novelty score images.
</p>
<p>Inspecting the novelty score images and the novelty regions provides you with
hints which kinds of errors are detectable on which pyramid levels.  Thus,
you can decide whether parameters for the training and the classification
should be adjusted, e.g., whether it is reasonable to explicitly select only
a subset of pyramid levels using the parameter <i><span data-if="hdevelop" style="display:inline"><code>'levels'</code></span><span data-if="c" style="display:none"><code>"levels"</code></span><span data-if="cpp" style="display:none"><code>"levels"</code></span><span data-if="com" style="display:none"><code>"levels"</code></span><span data-if="dotnet" style="display:none"><code>"levels"</code></span><span data-if="python" style="display:none"><code>"levels"</code></span></i>.
</p>
<div style="text-align:center;" class="figure">
<table style="margin-left:auto;margin-right:auto">
<tr>
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</g>
</svg></td>
</tr>
<tr>
<td align="center">
        (
      1)
    </td>
<td align="center">
        (
      2)
    </td>
</tr>
</table>
<div style="margin-bottom:30px;text-align:center;" class="caption">
The resulting <i><span data-if="hdevelop" style="display:inline"><code>'novelty_score_image'</code></span><span data-if="c" style="display:none"><code>"novelty_score_image"</code></span><span data-if="cpp" style="display:none"><code>"novelty_score_image"</code></span><span data-if="com" style="display:none"><code>"novelty_score_image"</code></span><span data-if="dotnet" style="display:none"><code>"novelty_score_image"</code></span><span data-if="python" style="display:none"><code>"novelty_score_image"</code></span></i> (1) and the resulting
<i><span data-if="hdevelop" style="display:inline"><code>'novelty_region'</code></span><span data-if="c" style="display:none"><code>"novelty_region"</code></span><span data-if="cpp" style="display:none"><code>"novelty_region"</code></span><span data-if="com" style="display:none"><code>"novelty_region"</code></span><span data-if="dotnet" style="display:none"><code>"novelty_region"</code></span><span data-if="python" style="display:none"><code>"novelty_region"</code></span></i> (2) for the test image above.
</div>
</div>

</dd>
</dl>
<h3>Further operators</h3>
<p>The functionality of the texture inspection can be altered by various
parameters. The parameters can be queried with
<a href="get_texture_inspection_model_param.html"><code><span data-if="hdevelop" style="display:inline"><code>get_texture_inspection_model_param</code></span><span data-if="c" style="display:none"><code>get_texture_inspection_model_param</code></span><span data-if="cpp" style="display:none"><code>GetTextureInspectionModelParam</code></span><span data-if="com" style="display:none"><code>GetTextureInspectionModelParam</code></span><span data-if="dotnet" style="display:none"><code>GetTextureInspectionModelParam</code></span><span data-if="python" style="display:none"><code>get_texture_inspection_model_param</code></span></code></a> and altered with calls to
<a href="set_texture_inspection_model_param.html"><code><span data-if="hdevelop" style="display:inline"><code>set_texture_inspection_model_param</code></span><span data-if="c" style="display:none"><code>set_texture_inspection_model_param</code></span><span data-if="cpp" style="display:none"><code>SetTextureInspectionModelParam</code></span><span data-if="com" style="display:none"><code>SetTextureInspectionModelParam</code></span><span data-if="dotnet" style="display:none"><code>SetTextureInspectionModelParam</code></span><span data-if="python" style="display:none"><code>set_texture_inspection_model_param</code></span></code></a>.
</p>
<p>It is possible to write a texture inspection model to file with the
operator <a href="write_texture_inspection_model.html"><code><span data-if="hdevelop" style="display:inline"><code>write_texture_inspection_model</code></span><span data-if="c" style="display:none"><code>write_texture_inspection_model</code></span><span data-if="cpp" style="display:none"><code>WriteTextureInspectionModel</code></span><span data-if="com" style="display:none"><code>WriteTextureInspectionModel</code></span><span data-if="dotnet" style="display:none"><code>WriteTextureInspectionModel</code></span><span data-if="python" style="display:none"><code>write_texture_inspection_model</code></span></code></a>. Thereby, only the texture
inspection model is stored. The images which were possibly added can be
queried with the help of <a href="get_texture_inspection_model_image.html"><code><span data-if="hdevelop" style="display:inline"><code>get_texture_inspection_model_image</code></span><span data-if="c" style="display:none"><code>get_texture_inspection_model_image</code></span><span data-if="cpp" style="display:none"><code>GetTextureInspectionModelImage</code></span><span data-if="com" style="display:none"><code>GetTextureInspectionModelImage</code></span><span data-if="dotnet" style="display:none"><code>GetTextureInspectionModelImage</code></span><span data-if="python" style="display:none"><code>get_texture_inspection_model_image</code></span></code></a>
and stored separately by calling <a href="write_object.html"><code><span data-if="hdevelop" style="display:inline"><code>write_object</code></span><span data-if="c" style="display:none"><code>write_object</code></span><span data-if="cpp" style="display:none"><code>WriteObject</code></span><span data-if="com" style="display:none"><code>WriteObject</code></span><span data-if="dotnet" style="display:none"><code>WriteObject</code></span><span data-if="python" style="display:none"><code>write_object</code></span></code></a>.
</p>
<p>To help reduce the memory required by the texture inspection model, it is
possible to delete previously added images from the model with
<a href="remove_texture_inspection_model_image.html"><code><span data-if="hdevelop" style="display:inline"><code>remove_texture_inspection_model_image</code></span><span data-if="c" style="display:none"><code>remove_texture_inspection_model_image</code></span><span data-if="cpp" style="display:none"><code>RemoveTextureInspectionModelImage</code></span><span data-if="com" style="display:none"><code>RemoveTextureInspectionModelImage</code></span><span data-if="dotnet" style="display:none"><code>RemoveTextureInspectionModelImage</code></span><span data-if="python" style="display:none"><code>remove_texture_inspection_model_image</code></span></code></a>.
</p>
<p>Furthermore, it is possible to serialize and deserialize the texture
inspection model with <a href="serialize_texture_inspection_model.html"><code><span data-if="hdevelop" style="display:inline"><code>serialize_texture_inspection_model</code></span><span data-if="c" style="display:none"><code>serialize_texture_inspection_model</code></span><span data-if="cpp" style="display:none"><code>SerializeTextureInspectionModel</code></span><span data-if="com" style="display:none"><code>SerializeTextureInspectionModel</code></span><span data-if="dotnet" style="display:none"><code>SerializeTextureInspectionModel</code></span><span data-if="python" style="display:none"><code>serialize_texture_inspection_model</code></span></code></a>
and <a href="deserialize_texture_inspection_model.html"><code><span data-if="hdevelop" style="display:inline"><code>deserialize_texture_inspection_model</code></span><span data-if="c" style="display:none"><code>deserialize_texture_inspection_model</code></span><span data-if="cpp" style="display:none"><code>DeserializeTextureInspectionModel</code></span><span data-if="com" style="display:none"><code>DeserializeTextureInspectionModel</code></span><span data-if="dotnet" style="display:none"><code>DeserializeTextureInspectionModel</code></span><span data-if="python" style="display:none"><code>deserialize_texture_inspection_model</code></span></code></a>.
</p>
<h3>Glossary</h3>
<p>In the following, the most important terms that are used in the context of
texture inspection are described:
</p>
<dl class="generic">


<dt><b>Training images</b></dt>
<dd>
<p>
 Images that are used for training.
</p>
</dd>

<dt><b>Test images</b></dt>
<dd>
<p>
 Images which are compared to the trained texture
inspection model.
</p>
</dd>

<dt><b>Patch</b></dt>
<dd>
<p>
 A collection of neighboring pixels.
</p>
</dd>

<dt><b>Texture feature</b></dt>
<dd>
<p>
 The pixel values within a patch.
</p>
</dd>

<dt><b>Sample</b></dt>
<dd>
<p>
 A texture feature that is used for training.
</p>
</dd>

<dt><b>Novelty Score</b></dt>
<dd>
<p>
 In the test process the texture features of the test
images are compared to the texture inspection model and their
<i>novelty score</i> is calculated. The larger this value, the more
probable it is that the individual texture feature does not fit to the
texture inspection model.
</p>
</dd>

<dt><b>Novelty Threshold</b></dt>
<dd>
<p>
 The novelty threshold is determined during the
training process. Texture features with a novelty score below the novelty
threshold fit to the texture inspection model. Texture features with a higher
novelty score do not.
</p>
</dd>
</dl>
<hr>
<h4 id="section_list">算子列表</h4>
<dl>
<dt><a href="add_texture_inspection_model_image.html"><code><span data-if="hdevelop" style="display:inline;">add_texture_inspection_model_image</span><span data-if="dotnet" style="display:none;">AddTextureInspectionModelImage</span><span data-if="python" style="display:none;">add_texture_inspection_model_image</span><span data-if="cpp" style="display:none;">AddTextureInspectionModelImage</span><span data-if="c" style="display:none;">add_texture_inspection_model_image</span></code></a></dt>
<dd>Add training images to the texture inspection model.</dd>
</dl>
<dl>
<dt><a href="apply_texture_inspection_model.html"><code><span data-if="hdevelop" style="display:inline;">apply_texture_inspection_model</span><span data-if="dotnet" style="display:none;">ApplyTextureInspectionModel</span><span data-if="python" style="display:none;">apply_texture_inspection_model</span><span data-if="cpp" style="display:none;">ApplyTextureInspectionModel</span><span data-if="c" style="display:none;">apply_texture_inspection_model</span></code></a></dt>
<dd>Inspection of the texture within an image.</dd>
</dl>
<dl>
<dt><a href="clear_texture_inspection_model.html"><code><span data-if="hdevelop" style="display:inline;">clear_texture_inspection_model</span><span data-if="dotnet" style="display:none;">ClearTextureInspectionModel</span><span data-if="python" style="display:none;">clear_texture_inspection_model</span><span data-if="cpp" style="display:none;">ClearTextureInspectionModel</span><span data-if="c" style="display:none;">clear_texture_inspection_model</span></code></a></dt>
<dd>Clear a texture inspection model and free the allocated memory.</dd>
</dl>
<dl>
<dt><a href="clear_texture_inspection_result.html"><code><span data-if="hdevelop" style="display:inline;">clear_texture_inspection_result</span><span data-if="dotnet" style="display:none;">ClearTextureInspectionResult</span><span data-if="python" style="display:none;">clear_texture_inspection_result</span><span data-if="cpp" style="display:none;">ClearTextureInspectionResult</span><span data-if="c" style="display:none;">clear_texture_inspection_result</span></code></a></dt>
<dd>Clear a texture inspection result handle and free the allocated memory.
</dd>
</dl>
<dl>
<dt><a href="create_texture_inspection_model.html"><code><span data-if="hdevelop" style="display:inline;">create_texture_inspection_model</span><span data-if="dotnet" style="display:none;">CreateTextureInspectionModel</span><span data-if="python" style="display:none;">create_texture_inspection_model</span><span data-if="cpp" style="display:none;">CreateTextureInspectionModel</span><span data-if="c" style="display:none;">create_texture_inspection_model</span></code></a></dt>
<dd>Create a texture inspection model.</dd>
</dl>
<dl>
<dt><a href="deserialize_texture_inspection_model.html"><code><span data-if="hdevelop" style="display:inline;">deserialize_texture_inspection_model</span><span data-if="dotnet" style="display:none;">DeserializeTextureInspectionModel</span><span data-if="python" style="display:none;">deserialize_texture_inspection_model</span><span data-if="cpp" style="display:none;">DeserializeTextureInspectionModel</span><span data-if="c" style="display:none;">deserialize_texture_inspection_model</span></code></a></dt>
<dd>Deserialize a serialized texture inspection model.</dd>
</dl>
<dl>
<dt><a href="get_texture_inspection_model_image.html"><code><span data-if="hdevelop" style="display:inline;">get_texture_inspection_model_image</span><span data-if="dotnet" style="display:none;">GetTextureInspectionModelImage</span><span data-if="python" style="display:none;">get_texture_inspection_model_image</span><span data-if="cpp" style="display:none;">GetTextureInspectionModelImage</span><span data-if="c" style="display:none;">get_texture_inspection_model_image</span></code></a></dt>
<dd>Get the training images contained in a texture inspection model.</dd>
</dl>
<dl>
<dt><a href="get_texture_inspection_model_param.html"><code><span data-if="hdevelop" style="display:inline;">get_texture_inspection_model_param</span><span data-if="dotnet" style="display:none;">GetTextureInspectionModelParam</span><span data-if="python" style="display:none;">get_texture_inspection_model_param</span><span data-if="cpp" style="display:none;">GetTextureInspectionModelParam</span><span data-if="c" style="display:none;">get_texture_inspection_model_param</span></code></a></dt>
<dd>Query parameters of a texture inspection model.</dd>
</dl>
<dl>
<dt><a href="get_texture_inspection_result_object.html"><code><span data-if="hdevelop" style="display:inline;">get_texture_inspection_result_object</span><span data-if="dotnet" style="display:none;">GetTextureInspectionResultObject</span><span data-if="python" style="display:none;">get_texture_inspection_result_object</span><span data-if="cpp" style="display:none;">GetTextureInspectionResultObject</span><span data-if="c" style="display:none;">get_texture_inspection_result_object</span></code></a></dt>
<dd>Query iconic results of a texture inspection.</dd>
</dl>
<dl>
<dt><a href="read_texture_inspection_model.html"><code><span data-if="hdevelop" style="display:inline;">read_texture_inspection_model</span><span data-if="dotnet" style="display:none;">ReadTextureInspectionModel</span><span data-if="python" style="display:none;">read_texture_inspection_model</span><span data-if="cpp" style="display:none;">ReadTextureInspectionModel</span><span data-if="c" style="display:none;">read_texture_inspection_model</span></code></a></dt>
<dd>Read a texture inspection model from a file.</dd>
</dl>
<dl>
<dt><a href="remove_texture_inspection_model_image.html"><code><span data-if="hdevelop" style="display:inline;">remove_texture_inspection_model_image</span><span data-if="dotnet" style="display:none;">RemoveTextureInspectionModelImage</span><span data-if="python" style="display:none;">remove_texture_inspection_model_image</span><span data-if="cpp" style="display:none;">RemoveTextureInspectionModelImage</span><span data-if="c" style="display:none;">remove_texture_inspection_model_image</span></code></a></dt>
<dd>Clear all or a user-defined subset of the images of a
texture inspection model.</dd>
</dl>
<dl>
<dt><a href="serialize_texture_inspection_model.html"><code><span data-if="hdevelop" style="display:inline;">serialize_texture_inspection_model</span><span data-if="dotnet" style="display:none;">SerializeTextureInspectionModel</span><span data-if="python" style="display:none;">serialize_texture_inspection_model</span><span data-if="cpp" style="display:none;">SerializeTextureInspectionModel</span><span data-if="c" style="display:none;">serialize_texture_inspection_model</span></code></a></dt>
<dd>Serialize a texture inspection model.</dd>
</dl>
<dl>
<dt><a href="set_texture_inspection_model_param.html"><code><span data-if="hdevelop" style="display:inline;">set_texture_inspection_model_param</span><span data-if="dotnet" style="display:none;">SetTextureInspectionModelParam</span><span data-if="python" style="display:none;">set_texture_inspection_model_param</span><span data-if="cpp" style="display:none;">SetTextureInspectionModelParam</span><span data-if="c" style="display:none;">set_texture_inspection_model_param</span></code></a></dt>
<dd>Set parameters of a texture inspection model.</dd>
</dl>
<dl>
<dt><a href="train_texture_inspection_model.html"><code><span data-if="hdevelop" style="display:inline;">train_texture_inspection_model</span><span data-if="dotnet" style="display:none;">TrainTextureInspectionModel</span><span data-if="python" style="display:none;">train_texture_inspection_model</span><span data-if="cpp" style="display:none;">TrainTextureInspectionModel</span><span data-if="c" style="display:none;">train_texture_inspection_model</span></code></a></dt>
<dd>Train a texture inspection model.</dd>
</dl>
<dl>
<dt><a href="write_texture_inspection_model.html"><code><span data-if="hdevelop" style="display:inline;">write_texture_inspection_model</span><span data-if="dotnet" style="display:none;">WriteTextureInspectionModel</span><span data-if="python" style="display:none;">write_texture_inspection_model</span><span data-if="cpp" style="display:none;">WriteTextureInspectionModel</span><span data-if="c" style="display:none;">write_texture_inspection_model</span></code></a></dt>
<dd>Write a texture inspection model to a file.</dd>
</dl>
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